Magy M. Kandil

Egyptian Atomic Energy Authority · National Center for Radiation Research and Technology

In Nuclear Power plants, Reactivity Induced Accidents can lead to sever accidents. Rod Ejection Accidents are part of Reactivity Induced Accidents that induced through driven by reactivity insertion due to many failures. Thus, safety analysis of core behaviour under many external rod reactivities in Nuclear power plants are mandatory by regulators...

In Nuclear Power Plants the Design Extension Conditions are more complex and severe than those postulated as Design Basis Accidents, therefore, they must be taken into account in the safety analyses. In this study, many hypothetical investigated transients are applied on KONVOI pressurized water reactor during a 6-in. (182 cm2) cold leg Small Break...

Fire safety in nuclear power plants (NPPs) is very important for realizing a high level of safety which investigate achievement reasonably protection for persons and the environment since fire can cause core melts thus emergency fire evacuations are concerned in NPPs. In this research, a new algorithm for Emergency fire evacuation is developed to m...

In Nuclear power plants, simulation of the thermal hydraulic systems at loss of flow, accidents is commonly used to perform safety and licensing analyses through regulatory and safety authorities since they are considered as design base accidents. In this paper, a simulation of a thermal-hydraulic model of Germany Pressurized Water Reactor (GPWR) i...

Simulation of egress is vital for minimizing losses during fire disasters, however accurate simulations are scarce and real-life data is hard to come by. In this paper, a Proposed Wireless Fire Evacuation Model (PWFEM) is proposed to simulate fire evacuation process in a short time to minimize evacuee’s exposure to the harmful radiation and fire ha...

In this research, a new dynamic model of a small modular reactor is developed. The developed modeling consistent of a lumped parameter of fuel to coolant heat transfer combines with the vessel upper and lower plenums coolant masses for representing the power of core and the response of heat transfer dynamics by simulating the core plant operation u...

In this research, a new dynamic model is developed for the IAEA 10 MW MTR as a research reactor. The developed dynamic model predicts the performance of the core design and the thermal hydraulic behavior in reactivity variations conditions for controlling startup conditions to reach criticality. The startup is performed by increasing or decreasing...

In Nuclear power plants, Reactivity-Induced Accidents category is very important since, they part of the licensing design basis accidents analyses regulatory required for pressurized water reactors. Rod Ejection Accidents are part of Reactivity-Induced Accidents since they are induced due to the failures of its operating mechanism with the power ev...

Departure from nucleate boiling ratio, (DNBR) is the important factor in the operation of a pressurized water reactor, (PWR) it is of interest to determine how it is affected by variations in the parameters of which it is a function, such as reactor core pressure, coolant inlet temperature, and core flow rate. In this work, a new proposed dynamic m...

Abstract Global competition and rapid changes in technology demand more innovation in organizations. Such an increase in innovation depends on developing the capabilities of employees and providing them with knowledge management support that accelerates learning and discovery. Knowledge Management is the way to improve the conditions of stability...

Abstract New nuclear reactors being proposed to built with involve digital computers and communication system and network technologies which expanded recently in the I&C systems of nuclear power plants for both safety related and non-safety related. According to this expanded, cyber security concerns are increasing in nuclear facilities as in IT i...

Abstract New nuclear reactors being proposed to built with involve digital computers and communication system and network technologies which expanded recently in the I&C systems of nuclear power plants for both safety related and non-safety related. According to this expanded, cyber security concerns are increasing in nuclear facilities as in IT i...

ABSTRACT: The 2011 accident at the Fukushima Daiichi nuclear power plant in Japan has, as might be expected, led to improvements in equipment at plants around the world that have fortified safety systems and allowed for better protection against rare, extreme natural events. Equally important to the process of improving nuclear safety is the emphas...

Fire safety is important throughout the lifetime of nuclear power plant (NPP), from design to construction throughout plant operation. The integrity of the shutdown cables located in the pump room in NPPs is very important in the fire protection system. Therefore, the present numerically study investigates the effect of outlet vent opening geometry...

Safety is the primary purpose of the regulatory body, Regulator plays a significant role in the field of nuclear safety even though the prime responsibility for safety belongs to the operator, the regulator which actually decides what is considered to be safe. In order to effectively implement the international principle of high level of nuclear sa...

ABSTRACTAn uncontrolled fire in a nuclear facility can be a very seriousevent. The majority of fire dynamics, fire risk evaluations will focus on shutdown cables because of their thermal fragility. Due to the importanceof shutdown cablesthat pass in thein pump room in a nuclear power plants NPP, itis important to study the parameters relatedthe ven...

ABSTRACT: Nanotechnologies promise to be the foundation of the next industrial revolution. What role can they play in electronic devices? This question has been raised, directly or indirectly, by various authors and institutions since the year 2000, when nanotechnology came to be the focus of government research programs, primarily in the developed...

DV-Hop algorithm is a range free algorithm that uses hop distance in its calculations. An improved DV-Hop algorithm is proposed by changing the average hop-size. The evaluation of the performance was carried out on wireless sensor network localization. Sensors were placed according to two functions; pseudo random and sobol quasi random. The latter...

The electrical properties of lead (Pb) nanopowder (metal) produced by “Direct Electrorefining" technique of secondary lead slag are investigated in this study. The morphology and shape of the nanostructure lead powder were examined using a scanning electron microscope (SEM). The particles size is confirmed using a transmission electron microscope (...

This paper presents the detailed studies of the current-voltage (I-V) characteristics of a compressing thick disc pellet of lead nanoparticles which it is exposed to gamma radiation. The I-V characteristics are carried out for the pellet as exposed to a disc–type 60 CO radiation source with an activity of 370KBq.The data analyzed to obtain current...

In a nuclear research reactors plant, a fault can occur in a few milliseconds, so locating the fault might be of utmost importance due to safety, and other important reasons. Accordingly, there is an increasing demand for automated systems to diagnose such failures. This paper proposes a new hybrid algorithm which considered as a novel method to de...

Among the challenges that face wireless sensor network is minimizing the localization error and yet using minimum number of beacons. These two challenges are addressed in this pape by proposing a heuristic algorithm which is based on anchor based beacons and modified DV-Hop algorithm. The results give a recommended percentage of beacons that achiev...

Real time locating faults in any nuclear research reactors plants are the highest importance requirements, aimed for safety of human and environmental reasons. Since a great fault can occur in a few milliseconds, accordingly, there is an increasing demand for automated systems to diagnose such failures. Adaptive Resonance network (ART) [1] is a neu...

A biometric hybrid algorithm is proposed for face recognition in real time. The algorithm first uses Huffman code compression to represent the image in a small size binary format. The binary vector is then fed as input to the First Adaptive Resonance Theory network, ART1, which is an unsupervised neural network, for image recognition. It is shown t...

Ozone is one of the most effective pollutants in lower atmosphere. Concentration of ozone in atmosphere reveals its impact on plants, human and on other organic materials. Many techniques had been used in past to calculate the concentration of ozone with the help of other environmental factors like wind, humidity, temperature and etc. Prediction mo...

Based on International Atomic Energy Safety Standard, the most important measures to increase the independency of redundant trains ofa computerized safety instrumentation and control system in a nuclear power plant are evaluated with respect to practical applications.The research approach employed to establish diversity strategies involves investig...

The ventilation and air cleaning system in the nuclear or radiological installations is one of the essential nuclear safety concerns. It is responsible for confining the radioactive materials involved behind suitable barriers during normal and abnormal conditions. It must be designed to prevent the release of harmful products (radioactive gases, or...

The work models and simulates fire growth in a closed room. It examines the effect of various airflow rates of mechanical ventilation on wall and ceiling temperatures, Heat Release Rate, oxygen and carbon dioxide rates when smoke/fire is detected. The objective of the simulation is to find a way to control the temperature, fire growth and gas rates...

A method is proposed to detect fire flame and/or smoke in real-time by processing the video data generated by an ordinaty camera monitoring a scene. This is achieved by developing first a neural network by means of a new hybrid algorithm that estimates the optimum number of hidden layers and their neurons in a back propagation network. Evolutionary...

Early warning systems are critical in providing emergency response in the event of unexpected hazards. Cheap cameras and improvements in memory and computing power have enabled the design of fire detectors using video surveillance systems. This is critical in scenarios where traditional smoke detectors cannot be installed. In such scenarios, it has...

This paper proposes a novel method to detect fire and/or smoke in real-time by processing the video data generated by an ordinary camera monitoring a scene. The objective of this work is recognizing and modeling fire shape evolution in stochastic visual phenomenon. It focuses on detection of fire in image sequences by applying a new hybrid algorith...

In this paper, an algorithm is proposed for real time fire recognition by Optimizing First Adaptive Resonance Network (OART1). The two major important parameters (the weighted and the vigilance) of ART1 are adapting using Particle Swarm Optimization algorithm. The proposed algorithm has been applied for recognizing any fire in the rooms of the seco...

In this paper, the new hybrid algorithm is used as real time fire recognition algorithm in visual image sequences. For the purposes of real time fire pattern recognition tasks neural networks (NNs) are typically trained with respect of error function minimization by propagating a linear sum of errors. Recent studies in the fire vision recognition h...

In this paper, a software testing package using structural testing had been proposed and implemented. It can analyze any program written in C language. Moreover it can be applied to a wide spectrum of C-like languages. The C language had been chosen as an example for it. It makes two useful functions; one is a static analysis for the program under...

The issue of variable weight, learning rate, step size and bias in the Backpropagation training algorithm has been widely investigated. Several techniques employing heuristic factors have been suggested to improve training time and reduce convergence to local minima. In this contribution, backpropagation training is based on variable gain of the lo...